An Optimization Approach Applied to Fair Division Transportation Funding Allocation Models
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The problem of multiple necessities and limited funds is common in the transportation field.
Funding allocation for a transportation agency often involves prioritizing the allocation of funds
across a number of participants who have their own needs and preferences. If a participant believes
that the final allocation is unfair, then this perception could result in the generation of envy. In
this paper, a genetic optimization technique is applied to a Fair Division Transportation Funding
Allocation Model (FDTFAM) to minimize the total envy based on the participant’s own priorities
and the budget constraints.